2023 Volume 79 Issue 3 Article ID: 22-00169
The ticket pass data in railway stations contain information on entry and exit at stations for each ticket unit over a long period of time, making it possible to obtain individual travel behavior data such as frequency and time of use. The purpose of this study is to clarify the characteristics of the decrease in habitual railway usage by focusing on changes in frequency and time of use by individuals who are considered to have decreased their habitual railway usage due to the recent rapid changes in social conditions. First, the relationship between the amount of each change and the attributes of each individual, such as age, gender, and ticket type, is summarized. Then, following characteristics are clarified quantitatively by multiple regression analysis: (1) among those whose habitual railway usage has decreased, the change in usage habits may be considered to be greater among younger people, and (2) while the time of day when younger people ride the train has changed, the time of day when elderly people ride the train may not have changed at all.